Advanced Studies Programs
Department of Industrial and Systems Engineering
Master of Engineering in Industrial Engineering (MEng IE)
| Course Requirements | |
| Methods of Research | 3 units |
| Advanced Mathematics | 6 units |
| Major subjects | 15 units |
| Cognates / electives | 6 units |
| Practicum | 6 units |
| Comprehensive Exam | – |
| Orientation for Non-DLSU graduates | (1 unit) |
| Total | 36 units |
Master of Science in Industrial Engineering (M.S. IE.)
| Course Requirements | |
| Methods of Research | 3 units |
| Advanced Mathematics | 6 units |
| Major subjects | 15 units |
| Cognates / electives | 6 units |
| Thesis | 6 units |
| Comprehensive Exam | – |
| Orientation course for all new graduate students | (1 unit) |
| Total | 36 units |
Note: Cognates/Electives may be chosen from other engineering graduate programs.
Doctor of Philosophy in Industrial Engineering (PhD IE)
| Course Requirements | |
| Specialization Courses | 18 units in CMO 15 eff AY23-24 |
| Philosophy course | 3 units |
| Seminar | 3 units |
| Dissertation | 12 units |
| Comprehensive Exam | – |
| Orientation for Non-DLSU graduates | (1 unit) |
| Total | 36 units |
Required Courses
A. Foundation Courses |
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| COURSE CODE | COURSE TITLE | DESCRIPTION |
| COE5010 | Engineering Mathematics | This course covers Review of First-order-First-degree differential equation, Laplace Transforms, Systems of linear differential equation with constant coefficients, Power Series Solution of Differential Equations, Fourier Series, and Partial Differential Equations. |
| COE5020 | Quantitative Methods | The course covers the basic concepts of probability, random variables, special discrete and continuous probability distributions, sampling concepts, sampling distributions, hypothesis testing, and linear regression and correlation analysis. |
| COE5410 | Computer Engineering | This course covers topics on variables, constants, operations and expressions, program control statements, functions, arrays, structures, unions, I/O disk files, understanding memory models, turbo-C. |
| COE571M | Techpreneurship | This course takes the participant through entrepreneurship in technology ventures, which is about commercializing technology ideas into viable enterprises. It is about training techies, scientists and researchers in the skills and attitudes of entrepreneurs, about empowering them to realize the opportunities and commercial values arising from their ideas, technologies, technology applications or products. The course examines the development of ideas and how these are translated into opportunities and eventually businesses; it challenges the students to go through the process of writing a business plan, which will be their final output in this course. |
B. Orientation |
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| COE5000 | Engineering Orientation | The course includes topics on the DLSU history, mission statement, organizational structure, key officers/offices; the Brothers of the Christian Schools, the life and writings of St. John Baptist de la Salle; Lasallian core values and professional ethics.
Note: Exempted if your bachelor’s degree was obtained from a Lasallian institution. |
| SPS5000 | Institutional Orientation | All new graduate students are required to take the SPS5000 course during their first term of enrollment at the University. The SPS5000 Course has two parts: (1) Plenary Orientation and (2) College Orientation. The plenary orientation is facilitated by the Office of Student Affairs, through the Office of Student L.I.F.E. On the other hand, the College Orientation is facilitated by the College Administrators and Faculty, through the Associate Dean and/or Assistant Dean for Research and Advanced Studies. |
C. Basic Subject |
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| COE5200 | Methods of Research (for MEng & MS students only) | A study of the fundamentals of research designs, analysis and interpretations of data, project feasibility studies, and qualitative research techniques |
| COE559D | Philosophy of Technology (for PhD students only) | The course provides a focal point for the creators and doers of technology to examine critically and reflect upon the social influences of technology. The course discusses the philosophical foundation of science, technology, and engineering and analyzes their relationship. It includes a brief presentation of the history of science, technology and engineering surveying major developments from the Industrial Revolution to the present and introduces ethical issues in the work life of engineers and scientists. |
D. Advanced Mathematics |
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| COE5310 | Advanced Mathematical Methods | Review of linear algebra and linear differential equation, existence and uniqueness, autonomous systems, phase portraits, nonlinear system, linearization, stability, perturbation, chaos and bifurcation. |
| COE5320 | Numerical Methods with Computer Programming and Application | Matrix computations, roots of linear and non-linear system, interpolation, numerical integration and differentiation, predictor connector, and Runge Kutta Methods, finite difference methods and introduction to finite element methods. |
| COE5100 | Statistical Analysis and Design | Basic Research Methods; analysis of variance and convariance; Experimental Design; Advanced Regression Analysis; Non-Parametric Test |
COURSE CODE |
COURSE DESCRIPTION |
COURSE TYPE |
COURSE DESCRIPTION |
| IEN | |||
| IEN513M | Data Analytics for Industrial Engineering | Major | This course covers the introduction to data science and the data science process with application to the Industrial Engineering field. The course will be a combination of lectures and hands-on application of concepts through the use of the most used software in the data science field. This course aims to incorporate the students’ knowledge on statistics, process management and computer science in general. |
| IEN520M | Optimization Techniques 1 | Major | This course deals with the fundamental concepts of Linear Programming and Integer Linear Programming. These concepts include linear model formulation and solution, duality theory sensitivity analysis, integer linear model formulation and solution and networking |
| IEN521M | Optimization Techniques 2 | Major | The course deals with the fundamental concepts of Non-Linear Programming and Stochastic Processes. These concepts include Dynamic Programming, Decision Theory, Game Theory, Markov Theory, Queuing Theory, Simulation, and Stochastic Inventory Models. |
| IEN522M | Production and Operations Management Techniques 1 | Major | This course deals with the concepts, the techniques, the quantitative tools, and the decision making process in the design, planning, implementation, control, and operation of a production activity. The major topics covered in the course include Inventory Management Project Scheduling, Facilities Management, and Maintenance. |
| IEN523M | Production And Operations Management Techniques 2 | Major | The course focuses on the design, planning, and operations of work in production and operation systems. The course mainly covers the tools and techniques of methods engineering and human factors engineering. |
| IEN524M | System Engineering Analysis and Design | Major | This course introduces the students to the concepts, tools, techniques, and activities of systems analysis and design such as situation appraisal, problem analysis, decision analysis, potential problem analysis and the various tools to be used in each stage. It exposes students to the processes utilized by managers for problem solving and decision making which involve developing an understanding of a situation, investigation through systematic questioning and logic, decision making among alternatives, and ensuring the success of decisions. The Rational Management methodology developed by Kepner-Tregoe, Inc. forms the foundation of the course. It is further enhanced by design for operational feasibility such as design for usability, reliability, manufacturability, disposability, affordability and life-cycle costs. |
| IEN530M | Management of Service Operations
|
Major | The course introduces the students to the activities involved in the design and management of service systems. The impact and importance of services on a nation¿s economy is emphasized. Concepts and tools in measuring and achieving service quality are discussed. Moreover, similarities and differences between traditional manufacturing management and service management techniques are tackled. |
| IEN531M | Inbound/Outbound Logistics | Major | This course deals with the basic concepts in managing the complete flow of materials in a supply chain from suppliers to customers. Overview of the various activities or functional areas along the supply chain will be covered. These include demand management, procurement, inventory management, customer service, distribution and transportation, warehousing, and the like. |
| IEN532M | Lean Manufacturing | Major | This course covers how the Lean Manufacturing philosophy and techniques can be applied to an organization to maximize customer value, minimize waste and reduce costs. By adopting a Lean Manufacturing approach, a company will become faster and more responsive to customer requirements while using fewer resources. |
| IEN533M | Information Systems Design and Management | Major | This course covers the conceptualization, design and development of IT application systems. It shall cover concepts, tools and techniques in the planning, analysis, design, programming and management of information systems. The students will learn how to analyze using object-oriented analysis and design technology, design user interface prototypes using visual basic programming and manage projects through the use of project management tool. The topics covered will provide students with the knowledge on how technology will impact and improve business processes to be more efficient and effective. |
| IEN534M | Six –Sigma Quality System | Major | This course deals with the origins and concepts, the techniques and quantitative tools, and the decision-making process in the design and implementation of Six-Sigma Quality Systems. The major topics covered in this course include the Six-Sigma Methodology, Setting-Up a Six-Sigma Program, Data Collection, Analysis and Measurement System Evaluation, Recording and Plotting Data, Process Capability Analysis, Statistical Design for Experiments, Innovative solution Techniques and Solution Implementation Guidelines. |
| IEN611M | System Dynamics | Major | This is an advanced course in system dynamics. The course deals with modeling more complex and dynamic systems. These systems not only include manufacturing systems but also broader organizational, economic and social environments. It has highlights decisions and policies of the system that are critical in system behavior. |
| IEN611D | System Dynamics (for PhD) | Major | The course takes a philosophy perspective in dissecting, exploring, and studying systems, systems thinking and the systems approach. It challenges the common simplified and simplistic definitions of systems and the systems approach by introducing the effect of dynamics not only brought about by the internal interactions of factors but also by external developments and most importantly, the effect of the observer/analyst on the system. Moreover, the importance of the analyst’s perspective and its effect on the analysis and conclusions are explored. A system model integrating the concepts is proposed as a result of these philosophical excursions.
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| IEN651D | Product & Process Design for Environment and Life Cycle Analysis | Major | IEN651D is an introductory course of design for environment (DfE) as applied to the assessment of product or process alternatives. DfE is undertaken using life cycle analysis (LCA) and other sustainability concepts (e.g., P2/CP or pollution prevention/cleaner production) that are illustrated through case studies, software demos, and product dissection projects. An integrated, problem-based approach is employed and students are expected to make use of available LCA programs for the analysis of real or realistic case studies. |
| IEN654D | Human- Computer Interaction Design and Application (for PhD) | Major | The course will focus on issues surrounding the use of technology and how these issues can be resolved through design. Relevant theories in HCI will be discussed and how these theories can be used to design technologies that are effective and efficient. |
| IEN655M | Target-Oriented Robust Optimization (TORO) | Major | This course introduces students to target-oriented robust optimization (TORO). Even a small degree of uncertainty can make the usual optimal solution completely meaningless. The reality of which creates the need to identify solutions that would be robust to the presence of uncertainty. TORO preserves computational tractability and also allows for ambiguity in uncertainty information. Moreover, the course also seeks to show how traditional modeling paradigms can benefit from the use of a target-oriented optimization approach for applications in decision problems. |
| IEN655D | Target-Oriented Robust Optimization (TORO) (for PhD) | Major | This course introduces students to target-oriented robust optimization (TORO). Even a small degree of uncertainty can make the usual optimal solution completely meaningless. The reality of which creates the need to identify solutions that would be robust to the presence of uncertainty. TORO preserves computational tractability and also allows for ambiguity in uncertainty information. Moreover, the course also seeks to show how traditional modeling paradigms can benefit from the use of a target-oriented optimization approach for applications in decision problems. |
| IEN656M | Design Thinking | Major | The course introduces the student to the design thinking framework which is a human centered approach to design. The framework can be applied in developing new product or service ideas. Since there are numerous customer needs that can be fulfilled by creating innovative designs the student projects in this course will be diverse. Multidisciplinary teams will be formed to encourage sharing of different ideas. Design thinking allows understanding of customer needs through research. The outcome of the needs analysis is used to develop ideas that can be translated into technologically feasible prototypes. |
| IEN656D | Design Thinking (for PhD) | Major | This course is an extension for IEN656M intended for PhD students. The course introduces the student to the design thinking framework which is a human centered approach to design. The framework can be applied in developing new product or service ideas. Since there are numerous customer needs that can be fulfilled by creating innovative designs the student projects in this course will be diverse. Multidisciplinary teams will be formed to encourage sharing of different ideas. Design thinking allows understanding of customer needs through research. The outcome of the needs analysis is used to develop ideas that can be translated into technologically feasible prototypes. |
| IEN820D | Seminar in PhD – Industrial Engineering | Major | This course is intended for Ph.D. students in preparation for their Ph.D. dissertation. This includes attendance to seminars / conferences and paper presentations of topics related to their dissertation. |
| IEN8310 | Practicum 1 | Research | IEN Project 1 |
| IEN8320 | Practicum 2 | Research | IEN Project 2 |
| IEN8330 | Practicum 3 | Research | IEN Project 3 |
| IEN8410 | Directed Research 1 | Research | Supervised Research 1 |
| IEN8420 | Directed Research 2 | Research | Supervised Research 1 and Project Output Presentation |
| IEN843D | Directed Research 3 | Research | Supervised Research 3 |
| IEN851M | Thesis 1 | Research | I.E Research Methods 1 |
| IEN852M | Thesis 2 | Research | I.E Research Methods 2 |
| IEN853M | Thesis 3 | Research | I.E Research Methods 3 |
| IEN854M | Thesis 4 | Research | I.E Research Methods 4 |
| IEN855M | Thesis 5 | Research | I.E Research Methods 5 |
| IEN856M | Thesis 6 | Research | I.E Research Methods 6 |
| IEN857M | Thesis 7 | Research | I.E Research Methods 7 |
| IEN858M | Thesis 8 | Research | I.E Research Methods 8 |
| IEN859M | Thesis 9 | Research | I.E Research Methods 9 |
| IEN951D | Doctoral Dissertation 1 | Research | Doctoral Research Methods 1 |
| IEN952D | Doctoral Dissertation 2 | Research | Doctoral Research Methods 2 |
| IEN953D | Doctoral Dissertation 3 | Research | Doctoral Research Methods 3 |
| IEN954D | Doctoral Dissertation 4 | Research | Doctoral Research Methods 4 |
| IEN955D | Doctoral Dissertation 5 | Research | Doctoral Research Methods 5 |
| IEN956D | Doctoral Dissertation 6 | Research | Doctoral Research Methods 6 |
| IEN957D | Doctoral Dissertation 7 | Research | Doctoral Research Methods 7 |
| IEN958D | Doctoral Dissertation 8 | Research | Doctoral Research Methods 8 |
| IEN959D | Doctoral Dissertation 9 | Research | Doctoral Research Methods 9 |
| IEN960D | Doctoral Dissertation 10 | Research | Doctoral Research Methods 10 |
| IEN961D | Doctoral Dissertation 11 | Research | Doctoral Research Methods 11 |
| IEN962D | Doctoral Dissertation 12 | Research | Doctoral Research Methods 12 |
| IEN963D | Doctoral Dissertation 13 | Research | Doctoral Research Methods 13 |
| IEN964D | Doctoral Dissertation 14 | Research | Doctoral Research Methods 14 |
| IEN965D | Doctoral Dissertation 15 | Research | Doctoral Research Methods 15 |